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Leslie Solorzano
Leslie Solorzano
PostDoc, Medical Epidemiology and Biostatistics, Karolinska Institutet
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Title
Cited by
Cited by
Year
Artificial intelligence for diagnosis and grading of prostate cancer in biopsies: a population-based, diagnostic study
P Ström, K Kartasalo, H Olsson, L Solorzano, B Delahunt, DM Berney, ...
The Lancet Oncology 21 (2), 222-232, 2020
4462020
Deep learning in image cytometry: a review
A Gupta, PJ Harrison, H Wieslander, N Pielawski, K Kartasalo, G Partel, ...
Cytometry Part A 95 (4), 366-380, 2019
1852019
Improved breast cancer histological grading using deep learning
Y Wang, B Acs, S Robertson, B Liu, L Solorzano, C Wählby, J Hartman, ...
Annals of Oncology 33 (1), 89-98, 2022
1042022
TissUUmaps: interactive visualization of large-scale spatial gene expression and tissue morphology data
L Solorzano, G Partel, C Wählby
Bioinformatics 36 (15), 4363-4365, 2020
332020
Pathologist-level grading of prostate biopsies with artificial intelligence
P Ström, K Kartasalo, H Olsson, L Solorzano, B Delahunt, DM Berney, ...
arXiv preprint arXiv:1907.01368, 2019
262019
Automated identification of the mouse brain’s spatial compartments from in situ sequencing data
G Partel, MM Hilscher, G Milli, L Solorzano, AH Klemm, M Nilsson, ...
BMC biology 18, 1-14, 2020
242020
Whole slide image registration for the study of tumor heterogeneity
L Solorzano, GM Almeida, B Mesquita, D Martins, C Oliveira, C Wählby
Computational Pathology and Ophthalmic Medical Image Analysis: First …, 2018
192018
TissUUmaps 3: Improvements in interactive visualization, exploration, and quality assessment of large-scale spatial omics data
N Pielawski, A Andersson, C Avenel, A Behanova, E Chelebian, A Klemm, ...
Heliyon 9 (5), 2023
142023
Comparison of East‐Asia and West‐Europe cohorts explains disparities in survival outcomes and highlights predictive biomarkers of early gastric cancer aggressiveness
C Pereira, JH Park, S Campelos, I Gullo, C Lemos, L Solorzano, D Martins, ...
International Journal of Cancer 150 (5), 868-880, 2022
92022
TissUUmaps 3: interactive visualization and quality assessment of large-scale spatial omics data
N Pielawski, A Andersson, C Avenel, A Behanova, E Chelebian, A Klemm, ...
BioRxiv, 2022
92022
Machine learning for cell classification and neighborhood analysis in glioma tissue
L Solorzano, L Wik, T Olsson Bontell, Y Wang, AH Klemm, J Öfverstedt, ...
Cytometry Part A 99 (12), 1176-1186, 2021
92021
Towards automatic protein co-expression quantification in immunohistochemical TMA slides
L Solorzano, C Pereira, D Martins, R Almeida, F Carneiro, GM Almeida, ...
IEEE journal of biomedical and health informatics 25 (2), 393-402, 2020
92020
The ACROBAT 2022 challenge: automatic registration of breast cancer tissue
P Weitz, M Valkonen, L Solorzano, C Carr, K Kartasalo, C Boissin, ...
arXiv preprint arXiv:2305.18033, 2023
52023
ACROBAT--a multi-stain breast cancer histological whole-slide-image data set from routine diagnostics for computational pathology
P Weitz, M Valkonen, L Solorzano, C Carr, K Kartasalo, C Boissin, ...
arXiv preprint arXiv:2211.13621, 2022
52022
ACROBAT-automatic registration of breast cancer tissue
P Weitz, M Valkonen, L Solorzano, J Hartman, P Ruusuvuori, ...
10th Internatioal Workshop on Biomedical Image Registration, 2022
42022
Voxel-wise assessment of lung aeration changes on CT images using image registration: application to acute respiratory distress syndrome (ARDS)
M Orkisz, A Morales Pinzón, JC Richard, C Guérin, LE Solórzano Vargas, ...
International Journal of Computer Assisted Radiology and Surgery 14, 1945-1953, 2019
42019
Decoding gene expression in 2D and 3D
M Bombrun, P Ranefall, J Lindblad, A Allalou, G Partel, L Solorzano, ...
Image Analysis: 20th Scandinavian Conference, SCIA 2017, Tromsø, Norway …, 2017
42017
Transcriptome-supervised classification of tissue morphology using deep learning
A Andersson, G Partel, L Solorzano, C Wählby
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 1630-1633, 2020
12020
A Multi-Stain Breast Cancer Histological Whole-Slide-Image Data Set from Routine Diagnostics
P Weitz, M Valkonen, L Solorzano, C Carr, K Kartasalo, C Boissin, ...
Scientific Data 10 (1), 562, 2023
2023
Ensembles for improved detection of invasive breast cancer in histological images
L Solorzano, S Robertson, J Hartman, M Rantalainen
bioRxiv, 2023.04. 13.536542, 2023
2023
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